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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

10,310 concepts found, displaying 7,801 to 7,820.First387388389390391392393394Last
Id Label Status Status Modified Notation
32UGHB Greyfriars Quick edit Valid 2013-05-30 32UGHB
32UGHC Harrowby Quick edit Valid 2013-05-30 32UGHC
32UGHD Heath Quick edit Valid 2013-05-30 32UGHD
32UGHE Hillsides Quick edit Valid 2013-05-30 32UGHE
32UGHF Isaac Newton Quick edit Valid 2013-05-30 32UGHF
32UGHG Lincrest Quick edit Valid 2013-05-30 32UGHG
32UGHH Loveden Quick edit Valid 2013-05-30 32UGHH
32UGHJ Market and West Deeping Quick edit Valid 2013-05-30 32UGHJ
32UGHK Morkery Quick edit Valid 2013-05-30 32UGHK
32UGHL Peascliffe Quick edit Valid 2013-05-30 32UGHL
32UGHM Ringstone Quick edit Valid 2013-05-30 32UGHM
32UGHN St Anne's Quick edit Valid 2013-05-30 32UGHN
32UGHP St George's Quick edit Valid 2013-05-30 32UGHP
32UGHQ St Mary's Quick edit Valid 2013-05-30 32UGHQ
32UGHR St Wulfram's Quick edit Valid 2013-05-30 32UGHR
32UGHS Saxonwell Quick edit Valid 2013-05-30 32UGHS
32UGHT Stamford St John's Quick edit Valid 2013-05-30 32UGHT
32UGHU Thurlby Quick edit Valid 2013-05-30 32UGHU
32UGHW Toller Quick edit Valid 2013-05-30 32UGHW
32UGHX Truesdale Quick edit Valid 2013-05-30 32UGHX
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?